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2971c015-87b8-4f07-97c0-fefb2c186f55

This model is a fine-tuned version of Xenova/tiny-random-Phi3ForCausalLM on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 10.2789

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.000208
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 50
  • training_steps: 219

Training results

Training Loss Epoch Step Validation Loss
No log 0.0137 1 10.3801
10.3296 0.6873 50 10.3110
10.4092 1.3780 100 10.2934
10.3854 2.0687 150 10.2825
10.279 2.7560 200 10.2789

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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